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Open-Source Activity

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Open-Source Activity

Statistics - 101

Implementations of different statistical algorithms in R. These were part of my graduate course - Introduction to Probability and Statistics (CS-581) :

Hurricane Poisson Analysis (Trying to prove that the distribution of hurricanes is actually Poisson using historical hurricane data)
Method of Moments
Jacknife and Bootstrapping
Maximum Likelihood Estimator and Goodness of Fit
Bayesian Estimation of Parameters

All Implementation of Machine Learning Algorithms Image Colorizer using Neural Networks Probablistic Search and Destroy Minesweeper AI Bot Mazerunner - Analysing AI Search Algorithms Music Genre Belief Recognition using Neural Networks Statistics - 101 Optimal Stock Portfolio Management using Deep Reinforcement Learning Predict Stock Returns using GloVe Embeddings and Document Vectors Kaggle Competitions Implementation of Reinforcement Learning Algorithms Extraction of Professional Details from Web-URLs using DeepDive Table Header Detection and Classification using Machine Learning

Implementation of Machine Learning Algorithms Image Colorizer using Neural Networks Probablistic Search and Destroy Minesweeper AI Bot Mazerunner - Analysing AI Search Algorithms Music Genre Belief Recognition using Neural Networks Statistics - 101 Optimal Stock Portfolio Management using Deep Reinforcement Learning Predict Stock Returns using GloVe Embeddings and Document Vectors Kaggle Competitions Implementation of Reinforcement Learning Algorithms Extraction of Professional Details from Web-URLs using DeepDive Table Header Detection and Classification using Machine Learning